Characteristic control method of optical light-transmitting texture film

Abstract

The invention relates to the technical field of optical thin film manufacturing, and discloses a characteristic control method of an optical light-transmitting texture film. The method comprises the following steps: firstly, determining a light intensity fluctuation range and a total distribution range of a light source, and then determining film thickness configuration of candidate texture configuration points according to a target light transmittance requirement. And then, selecting alternative texture configuration points based on the film thickness configuration and the target light transmittance, calculating the single-day processing total cost of the alternative texture configuration points and the associated light source, then determining a target texture configuration point, and further determining a final texture configuration scheme according to the processing cost. In addition, an auxiliary coating can be screened according to the thickness of the film layer. According to the method, the problems that in the prior art, light intensity control is unstable, the film layer thickness and texture configuration are difficult to adapt, cost control is poor, and auxiliary coating selection is unreasonable are effectively solved, the characteristics of the optical light-transmitting texture film can be accurately controlled, the production cost is reduced, and the product quality and the market competitiveness are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optical thin film manufacturing, and specifically to a method for controlling the characteristics of an optical transmissive texture film. Background Art

[0002] In the field of modern optical technology, as a key component, the optical transmissive texture film is widely used in many fields, such as liquid crystal displays (LCDs), organic light-emitting diode displays (OLEDs), solar panels, and optical instruments. Its performance directly affects the final performance of related products. For example, in display devices, characteristics such as the light transmittance and surface roughness of the optical transmissive texture film significantly affect the image clarity, color reproducibility, and viewing angle; in the field of solar panels, these characteristics are related to the light capture efficiency and conversion efficiency.

[0003] The current manufacturing of optical transmissive texture films faces many challenges. In terms of light intensity control, the unstable light intensity distribution of the light source is a major problem. During the operation of multiple light sources, due to factors such as equipment aging and power supply fluctuations, the light intensity will fluctuate, and the fluctuations of different light sources are different. This makes it difficult to design and manufacture the film layer according to stable light intensity parameters during the manufacture of the optical transmissive texture film, thereby affecting the optical performance consistency of the film. For example, if the light intensity fluctuates too much, it will cause uneven refraction and transmission effects of the film layer on light, resulting in uneven brightness and darkness in the display screen.

[0004] There are also problems with the adaptation of the film layer thickness and texture configuration. Different texture densities have different compatibilities with the material surface, that is, the surface roughness parameters change with the change of the texture density. To determine the film layer thickness required to meet the target light transmittance, the surface roughness corresponding to the texture configuration points needs to be accurately considered. However, the existing technology lacks a systematic and effective method to accurately match the film layer thickness and texture configuration. In actual production, it often relies on experience for trial adjustments, which not only consumes a large amount of manpower, material resources, and time, but also makes it difficult to ensure that each film produced can achieve the ideal light transmittance and other performance indicators, resulting in unstable product quality and a high defective rate.

[0005] Cost control is also an important factor restricting the development of optical light-transmitting texture films. The manufacturing process involves multiple cost aspects, including light source calibration costs, material consumption costs, and equipment depreciation costs, etc. Currently, when calculating the total daily processing cost, there is a lack of a comprehensive and accurate calculation model, and the correlations and impacts among various cost factors cannot be fully considered. For example, when selecting the material supply node, the positioning error of the material and the matching degree between the batch specifications and the manufacturing requirements of the texture film are not comprehensively considered, resulting in an increase in material supply costs. At the same time, it may also affect the processing accuracy and quality of the film. In addition, when determining the final texture configuration plan, the relationship between meeting the light transmittance standard and cost is not fully weighed, making the product have too high a cost while meeting the performance requirements and lacking market competitiveness.

[0006] In terms of the selection of the auxiliary coating, there are also deficiencies in the existing technology. The auxiliary coating plays an important role in improving the anti-reflection performance of the optical light-transmitting texture film, etc. However, during the selection process, only partial performance parameters of the coating are often concerned, such as the anti-reflection layer configuration parameters, while ignoring the position adaptability between the coating and the target texture configuration point and the comprehensive performance of the coating itself. This may lead to poor bonding between the coating and the texture film, affecting the overall performance of the film, such as problems like coating peeling off and unstable anti-reflection effects. Summary of the Invention

[0007] The purpose of the present invention is to provide a method for controlling the characteristics of an optical light-transmitting texture film to solve the problems raised in the above background technology.

[0008] To achieve the above purpose, the present invention provides the following technical solution: A method for controlling the characteristics of an optical light-transmitting texture film, the method includes: Based on the light intensity distribution parameters of multiple light sources within a set control period, determine the light intensity fluctuation range corresponding to each of the light sources, and summarize the total light intensity distribution range corresponding to the multiple light sources; After determining the film layer thickness requirement for meeting the target light transmittance, determine the film layer thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter, where the surface roughness parameter is used to characterize the compatibility of the material surface in the target area with different texture densities, and the film layer thickness configuration is determined according to the number of film layer superposition layers associated with the candidate texture configuration point; Based on the film layer thickness configuration and the target light transmittance requirement, select at least one alternative texture configuration point from the multiple candidate texture configuration points, and after calculating the total daily processing cost corresponding to the alternative texture configuration point and the associated multiple light sources, select the target texture configuration point from at least one of the alternative texture configuration points at least according to the total daily processing cost to obtain the texture configuration result; Determine the final texture configuration plan according to the processing cost corresponding to each of the alternative texture configuration points and the total daily processing cost.

[0009] Preferably, the texture configuration result includes all the selected target texture configuration points, the film thickness configuration and the superposition position of each target texture configuration point under the target surface roughness parameter.

[0010] Preferably, the determining the final texture configuration plan according to the processing cost corresponding to each of the alternative texture configuration points and the total daily processing cost includes: Obtain a preset light transmittance compliance threshold, where the threshold is used to determine whether the light transmittance of the target texture configuration point meets the multi-light source cooperation requirement; Based on the light transmittance compliance threshold, calculate the total light transmittance deviation value of each combination of alternative texture configuration points, and select the combination with the smallest deviation value as the final texture configuration plan, where the combination is generated by traversing all the permutation ways of the alternative texture configuration points; Preferably, the calculating the total daily processing cost corresponding to the alternative texture configuration points and the associated multiple light sources includes: According to the position deviation between each light source and the corresponding alternative texture configuration point, determine the film layer calibration cost of a single light source, and sum up the calibration costs of all light sources to obtain the total calibration cost; Based on the number of film layer superposition layers corresponding to the candidate texture configuration point, determine the material consumption cost of each superposition layer; Add the total calibration cost, the material consumption cost and the equipment depreciation cost to obtain the total daily processing cost; Preferably, the selecting the target texture configuration points from at least one of the alternative texture configuration points according to at least the total daily processing cost includes: According to the calibration parameters required for each alternative texture configuration point, determine the film layer positioning accuracy and the material batch specification, and select the node with the smallest positioning error and meeting the batch specification as the target material node from multiple candidate material supply nodes; Calculate the material supply cost based on the positioning error and the batch matching degree, and superimpose it with the total daily processing cost to generate the comprehensive cost; Select the target texture configuration points in ascending order of the comprehensive cost, and the total cost does not exceed the preset budget threshold.

[0011] Preferably, determining the film layer thickness configuration specifically includes: Retrieve the texture parameter comparison table, where the comparison table includes the surface roughness parameter, the number of film layer superposition layers, the distance from the reference point of the target area, and the mapping relationship among the three; Calculate the actual distance between the candidate texture configuration point and the reference point according to the position information of the candidate texture configuration point, and query the matching number of film layer superpositions in the comparison table; Generate the film layer thickness configuration based on the number of superpositions; Preferably, the selecting at least one alternative texture configuration point from multiple candidate texture configuration points based on the film layer thickness configuration and the target light transmittance requirement includes: Calculate the light transmittance compliance probability of each candidate texture configuration point under different surface roughness parameters; Screen the candidate points with a compliance probability higher than the preset threshold, and generate a candidate combination based on their surface compatibility parameters; Select the candidate combination with the highest combination compatibility score as the alternative texture configuration point; Preferably, after obtaining the texture configuration result, the method further includes: Obtain the second target information of multiple candidate auxiliary coatings, where the information includes coating position parameters and antireflection layer configuration parameters; Determine the corresponding antireflection layer superposition requirement according to the film layer thickness configuration of each target texture configuration point; Based on the superposition requirement and the configuration parameters of the candidate coatings, screen the alternative coatings that meet the antireflection performance; Calculate the position adaptability of the alternative coatings to the target texture configuration points, and select the coating with the highest adaptability as the final auxiliary coating; Preferably, the selecting the coating with the highest adaptability as the final auxiliary coating includes: Generate a coating performance score according to the refractive index deviation range and adhesion parameters of the coating; Perform a weighted sum of the performance score and the position adaptability to obtain a comprehensive adaptability value; Select the candidate coating with the highest comprehensive adaptability value as the final auxiliary coating; Preferably, the present invention further includes a storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the characteristic control method of the optical light-transmitting texture film described in any one of the above.

[0012] Compared with the prior art, the beneficial effects of the present invention are: In terms of the relationship between light intensity control and film design, by determining the light intensity fluctuation range of each light source and summarizing the total distribution range of light intensity based on the light intensity distribution parameters of multiple light sources within a set control cycle, an accurate light intensity data basis is provided for subsequent film design. This allows the impact of light intensity fluctuations on the optical properties of the film to be fully considered when manufacturing optically transmissive texture films, effectively avoiding the problem of inconsistent optical properties of the film due to unstable light intensity. For example, in the manufacture of optically transmissive texture films for display devices, it is possible to ensure that the film has uniform refraction and transmission effects on light, thereby improving the clarity and color reproduction of the displayed image, avoiding uneven brightness and darkness, and enhancing the user's visual experience.

[0013] In terms of matching film thickness and texture configuration, after determining the film thickness required to meet the target transmittance, this method determines the appropriate film thickness configuration based on the surface roughness parameters of the candidate texture configuration points. This process uses the texture parameter comparison table to accurately query the number of film stacking layers based on the distance between the candidate texture configuration point and the reference point, and then generates the film thickness configuration. This precise matching method abandons the traditional empirical trial adjustment and greatly improves the adaptation accuracy of the film thickness and texture configuration. In actual production, it can effectively ensure that each optically transparent texture film produced can achieve the ideal transmittance and other performance indicators, reduce the product defective rate, improve production efficiency, reduce resource waste caused by unqualified products, and reduce production costs.

[0014] In terms of cost control, this method is comprehensive and accurate in calculating the total cost of a single-day processing. The calibration cost of the single-light source film layer is determined according to the position deviation between the light source and the candidate texture configuration point, and the total calibration cost is obtained by summarizing; the material consumption cost is determined according to the number of film layer superposition layers of the candidate texture configuration point; plus the equipment depreciation cost, a comprehensive and accurate total cost of a single-day processing is obtained. When selecting the target texture configuration point, the film layer positioning accuracy and material batch specifications determined by the calibration parameters are comprehensively considered, and the material supply node with the smallest positioning error and meeting the batch specifications is selected. The material supply cost is calculated and superimposed with the total cost of a single-day processing to generate a comprehensive cost. The target texture configuration point is selected from low to high according to the comprehensive cost and does not exceed the preset budget threshold. This cost control method can effectively reduce production costs and improve the market competitiveness of products while ensuring product performance. For example, in the large-scale production of optically transparent texture films, accurate cost calculation and reasonable material node selection can greatly reduce the cost expenditure in the production process, bringing greater economic benefits to the enterprise.

[0015] When determining the final texture configuration plan, obtain the preset qualified threshold of light transmittance, calculate the total light transmittance deviation value of each alternative texture configuration point combination, and select the combination with the smallest deviation value as the final plan. This method ensures that the light transmittance of the product meets the requirements of multi-light source cooperation, fully considers the cost factor, and achieves the balance between performance and cost. Compared with the traditional method, it not only ensures the product quality but also optimizes the cost structure, making the product more competitive in the market.

[0016] In terms of the selection of the auxiliary coating, obtain various information of the candidate auxiliary coatings, determine the anti-reflection layer stacking requirements according to the film thickness of the target texture configuration point, screen the alternative coatings that meet the anti-reflection performance, calculate its position adaptability with the target texture configuration point, and select the coating with the highest adaptability as the final auxiliary coating. During the selection process, comprehensively consider the refractive index deviation range and adhesion parameters of the coating to generate a performance score, and perform weighted summation with the position adaptability to obtain a comprehensive adaptability value, and select the one with the highest comprehensive adaptability value as the final choice. This method ensures the good combination of the auxiliary coating and the texture film, effectively improves the overall performance such as the anti-reflection performance of the optical light-transmitting texture film, avoids problems such as coating peeling and unstable anti-reflection effect, extends the service life of the product, and further improves the product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the working principle diagram of the characteristic control method of the optical light-transmitting texture film described in the present invention; Figure 2 is the working principle diagram of the texture configuration combination screening method for minimizing the light transmittance deviation; Figure 3 is the working principle diagram of the texture configuration point selection method based on the comprehensive cost; Figure 4 is the working principle diagram of the texture configuration point screening method based on the surface roughness; Figure 5 is the working principle diagram of the adaptation optimization method of the auxiliary coating and the texture configuration point. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Please refer to Figures 1 - 5 , the present invention provides a characteristic control method for an optical light-transmitting texture film, and the specific implementation steps are as follows: Based on the light intensity distribution parameters of multiple light sources within a set control period, determine the light intensity fluctuation range corresponding to each of the light sources, and summarize the total light intensity distribution range corresponding to the multiple light sources. In actual operation, use professional light intensity monitoring equipment to monitor multiple light sources in real time, and obtain the light intensity data of each light source at different time points within the control period. These data reflect the light intensity change of the light source during operation. After data analysis and processing, determine the light intensity fluctuation range of each light source, such as the interval between the minimum light intensity value and the maximum light intensity value. Then, summarize the light intensity fluctuation ranges of all light sources to obtain the total light intensity distribution range, which provides important basic data on the illumination conditions for subsequent control of the texture film characteristics.

[0020] After determining the film layer thickness requirements for meeting the target light transmittance, determine the film layer thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameters. Here, the surface roughness parameters are used to characterize the compatibility of the material surface in the target area with different texture densities, and the film layer thickness configuration is determined according to the number of film layer superposition layers associated with the candidate texture configuration point. When determining the film layer thickness required for the target light transmittance, a large amount of experimental data and theoretical models will be referred to, and calculations will be carried out in combination with the material characteristics of the texture film and the expected optical performance requirements. For each candidate texture configuration point, according to the surface roughness parameters at its location, use the existing data correlation relationship to determine the number of film layer superposition layers adapted to it, and then obtain the film layer thickness configuration.

[0021] Based on the film layer thickness configuration and the target light transmittance requirements, select at least one alternative texture configuration point from the multiple candidate texture configuration points, and after calculating the total daily processing cost corresponding to the alternative texture configuration point and the associated multiple light sources, select the target texture configuration point from at least one of the alternative texture configuration points at least according to the total daily processing cost to obtain the texture configuration result. When selecting the alternative texture configuration points, the matching degree between the film layer thickness configuration and the target light transmittance requirements will be comprehensively considered to screen out the points that initially meet the conditions. When calculating the total daily processing cost, multiple cost factors will be involved, such as film layer calibration cost, material consumption cost, and equipment depreciation cost, etc. Through the comprehensive calculation of these costs, the total daily processing cost of each alternative texture configuration point is obtained. Then, according to the total daily processing cost, combined with other relevant factors, select the target texture configuration point from the alternative texture configuration points to determine the texture configuration result.

[0022] Determine the final texture configuration plan based on the processing cost corresponding to each of the alternative texture configuration points and the total daily processing cost. When determining the final texture configuration plan, the processing costs of each alternative texture configuration point and the total daily processing cost will be comprehensively considered. Through specific calculation methods and evaluation criteria, different alternative plans will be compared and analyzed, and finally the optimal texture configuration plan will be determined.

[0023] The technical solutions of the present invention will be further described in detail below through 5 embodiments: Embodiment 1: When determining the film layer thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter, the specific operation is as follows: Retrieve the texture parameter comparison table, which includes surface roughness parameters, the number of film layer superpositions, the distance from the reference point of the target area, and the mapping relationship among the three. According to the position information of the candidate texture configuration point, use technical means such as coordinate measurement to calculate its actual distance from the reference point. Then, substitute this actual distance into the texture parameter comparison table to query the matching number of film layer superpositions. For example, through measurement, the distance between a certain candidate texture configuration point and the reference point is [X], and the number of film layer superpositions corresponding to this distance is found to be [N] in the comparison table. Generate the film layer thickness configuration based on this superposition number, that is, determine the final film layer thickness configuration according to the characteristics of the film layer material and the known thickness standard of each layer of the film. This process ensures that each candidate texture configuration point can obtain a suitable film layer thickness configuration according to the characteristics of its location, providing a basic guarantee for meeting the target light transmittance requirements in the subsequent process.

[0024] In actual production of the optical light-transmitting texture film, assume that the produced texture film is applied to a certain new type of electronic display screen, and this display screen has high requirements for the optical performance and surface quality of the texture film.

[0025] Before production, a large amount of basic data on this texture film has been obtained, and a texture parameter comparison table has been made. This comparison table covers the mapping relationships among various surface roughness parameters, different numbers of film layer superpositions, and the distance from the reference point of the target area. For example, the surface roughness parameters are divided into different levels such as Ra0.1 - Ra0.5μm, the number of film layer superpositions ranges from 1 layer to 10 layers, and the range of the distance from the reference point is divided according to the actual production area.

[0026] Now start to determine the film layer thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter. First, obtain the position information of the candidate texture configuration point through a high-precision position measurement instrument. Assume that the coordinates of one of the candidate texture configuration points A are (x1, y1), and the coordinates of the reference point of the target area are (0, 0). Use the distance formula between two points to calculate the actual distance d1 between point A and the reference point.

[0027] Substitute the distance d1 into the texture parameter comparison table for query. Suppose the query result shows that when the distance is d1, the corresponding number of stacked film layers is 5 layers.

[0028] Generate a film layer thickness configuration based on these 5 stacked film layers. Given that the standard thickness of each layer of this texture film is t (predetermined according to the characteristics of the film material and the production process), then the film layer thickness configuration suitable for the candidate texture configuration point A is 5t. In actual production, operators will accurately perform the film layer stacking operation according to this film layer thickness configuration to ensure that the texture film at this position meets subsequent optical performance and other quality requirements.

[0029] When determining another candidate texture configuration point B, first obtain its position information in the same way and calculate the distance d2 from the reference point. After querying the texture parameter comparison table, the corresponding number of stacked film layers is obtained as 3 layers, so the film layer thickness configuration of point B is 3t.

[0030] In this way, all candidate texture configuration points are processed one by one. Based on their respective distances from the reference point, the corresponding number of stacked film layers is obtained from the texture parameter comparison table, and then the suitable film layer thickness configuration is generated, providing key basic data and operation basis for meeting the target light transmittance requirements and the production and manufacturing of the entire texture film.

[0031] Example 2: The process of selecting at least one alternative texture configuration point from multiple candidate texture configuration points based on the film layer thickness configuration and the target light transmittance requirements is as follows: Under different surface roughness parameters, calculate the light transmittance compliance probability of each candidate texture configuration point through optical simulation software or actual light transmittance test equipment. For example, for candidate texture configuration points with different surface roughnesses, simulate or test the light transmittance under the set light source conditions respectively, and count the probability of reaching the target light transmittance. Screen the candidate points with a compliance probability higher than the preset threshold. Suppose the preset threshold is [P], and select the candidate points with a compliance probability greater than [P]. Then, based on the surface compatibility parameters of these candidate points, such as surface energy, texture distribution uniformity, etc., generate candidate combinations. Perform a compatibility score for each candidate combination. The scoring criteria can include the tightness of the combination of the texture and the film layer, the comprehensive evaluation of the light scattering and refraction effects, etc. Select the candidate combination with the highest combination compatibility score as the alternative texture configuration point, which can ensure that the selected alternative texture configuration point has good surface compatibility while meeting the light transmittance requirements, which is beneficial to improving the overall performance of the texture film.

[0032] Suppose an optical light-transmitting texture film for a high-end photographic lens is to be produced. This texture film needs to have a specific light transmittance to ensure the imaging quality of the lens. The imaging area of the lens is divided into multiple regions, and each region has different candidate texture configuration points.

[0033] Under different surface roughness parameters, calculate the passing probability of the light transmittance for each candidate texture configuration point. For the candidate texture configuration points in the central part of the imaging area, since the requirement for light transmittance is extremely high, the surface roughness parameter is set to Ra 0.1 μm. Using professional optical simulation software, input the light source characteristics of this area (such as the spectral distribution and light intensity of the light source) and the relevant parameters of the candidate texture configuration points (including texture shape, size, distribution, etc.). The simulation software predicts the light transmittance of this candidate texture configuration point under the current surface roughness through complex optical calculations. After multiple simulation calculations, it is statistically found that the probability of this candidate texture configuration point reaching the target light transmittance (assuming the target light transmittance is 95%) is 80%.

[0034] For the candidate texture configuration points in the edge part of the imaging area, considering that the refraction and scattering of light in the edge part are different from those in the central part, the surface roughness parameter is set to Ra 0.3 μm. Similarly, use the optical simulation software for calculation, and the probability of this candidate texture configuration point reaching the target light transmittance is obtained as 60%. Similar calculations and statistics are performed on all candidate texture configuration points to obtain a series of data on the passing probability of light transmittance.

[0035] Screen the candidate points with passing probabilities higher than the preset threshold. Assuming the preset threshold is 70%, then the candidate texture configuration point in the central part of the imaging area with a passing probability of 80% is screened out, while the candidate texture configuration point in the edge part with a passing probability of 60% is excluded. Generate candidate combinations based on the surface compatibility parameters of the screened candidate points. For example, there are two screened candidate texture configuration points. One candidate point has a relatively uniform texture distribution and moderate surface energy; the other candidate point has a certain texture directionality and slightly higher surface energy. Combine these two candidate points to form a candidate combination. During the combination process, consider factors such as whether their texture features conflict with each other and whether the surface energy difference will affect the overall stability of the film layer.

[0036] Perform a compatibility score on the generated candidate combinations. When scoring, comprehensively consider multiple factors, such as the synergistic effect of the texture, the comprehensive evaluation of the light scattering and refraction effects, etc. For the candidate combination composed of the above two candidate points, if their textures can complement each other, making the light distribute more evenly when passing through the texture film and not generating excessive scattering losses, then a higher score can be obtained in terms of the texture synergistic effect. At the same time, through the simulation analysis of the light scattering and refraction effects, if this combination can make the propagation direction of the light more in line with the optical design requirements of the lens, a higher score can also be obtained. Weight and sum these scores according to a certain weight to obtain the compatibility score of this candidate combination.

[0037] The candidate combination with the highest combined compatibility score is selected as the candidate texture configuration point. Assuming that there are multiple candidate combinations participating in the scoring, after calculation and comparison, one candidate combination performs best in the compatibility score, then this candidate combination is determined as the candidate texture configuration point, providing a suitable texture configuration option for subsequent texture film production to meet the strict requirements of high-end photographic lenses for optically transparent texture films.

[0038] Embodiment 3: The specific steps for calculating the total single-day processing cost corresponding to the candidate texture configuration points and the associated multiple light sources are as follows: According to the position deviation between each light source and the corresponding candidate texture configuration point, the deviation data is obtained by using the positioning detection equipment. By analyzing these data, the film layer calibration cost of a single light source is determined. For example, the cost factors such as the labor hours required for calibration and the consumption of calibration materials are determined according to the size of the deviation, and the calibration costs of all light sources are summarized to obtain the total calibration cost. Based on the number of superimposed film layers corresponding to the candidate texture configuration points, combined with the unit price and amount of each layer of film material, the material consumption cost of each superimposed layer is determined. At the same time, the equipment depreciation cost is calculated by considering factors such as the service life and purchase price of the equipment. Finally, the total calibration cost, material consumption cost and equipment depreciation cost are added together to obtain the total single-day processing cost. Through such a detailed cost calculation process, the single-day processing cost of each candidate texture configuration point can be accurately evaluated, providing a reliable cost basis for the subsequent selection of target texture configuration points.

[0039] Assume that an optical material manufacturer is producing an optically transparent texture film for high-end projectors. The texture film has extremely high requirements for light transmittance and uniformity, and needs to accurately control the texture and film parameters under multiple light sources to achieve the best projection effect. During the production process, it involves calculating the total single-day processing cost corresponding to the alternative texture configuration points and the associated multiple light sources.

[0040] The projector uses three different types of light sources, namely light source A, light source B and light source C. They are located in different positions in the projection system, and the illumination angle and intensity of the texture film are also different. Multiple candidate texture configuration points are set in the production area to meet the requirements of optical performance in different areas. Here, one of the candidate texture configuration points P is selected for cost calculation example.

[0041] Calculate the film calibration cost of a single light source, which is determined based on the position deviation between each light source and the corresponding candidate texture configuration point. Use a high-precision positioning detection device to measure the position deviation between light source A and candidate texture configuration point P. Assume that the horizontal deviation of light source A measured by the device is , the vertical deviation is , comprehensive value of position deviation ( Represents the comprehensive value of the position deviation between the light source A and the candidate texture configuration point P, Represents the horizontal deviation between the light source A and the candidate texture configuration point P, and the vertical deviation between the light source A and the candidate texture configuration point P). Given that the calibration cost per unit of position deviation is ( is the calibration cost per unit of position deviation, with the unit being yuan / unit deviation), then the film calibration cost of the light source A is . Similarly, calculate the comprehensive position deviation values and of the light source B and the light source C, as well as the corresponding film calibration costs . The total calibration cost is .

[0042] Determine the material consumption cost for each layer of stacking. Through preliminary experiments and analysis, it is determined that the number of film layers stacked corresponding to the candidate texture configuration point P is 5 layers. Given that the unit price of each layer of material for this texture film is yuan ( is the unit price of each layer of film material, with the unit being yuan / layer), and the fixed usage amount of materials required for each layer is ( is the fixed usage amount of each layer of film material, and the unit depends on the material measurement method, such as grams, milliliters, etc.), then the material consumption cost for each layer of stacking is , and the total material consumption cost for 5 layers is .

[0043] Next, calculate the equipment depreciation cost. Assume that the purchase price of the equipment used to produce this texture film is yuan, the expected service life of the equipment is days, and the daily usage time of the equipment is hours (assuming a fixed daily usage time of 8 hours). The daily depreciation cost of the equipment is (here the daily working hours of the equipment are the same, can be cancelled out, and the simplified calculation is ).

[0044] Finally, add the total calibration cost, the material consumption cost, and the equipment depreciation cost to obtain the total daily processing cost . Through such a detailed calculation process, it is possible to accurately obtain the total daily processing cost corresponding to each alternative texture configuration point and the associated light source, providing an accurate cost basis for subsequent selection of the target texture configuration point, and helping the enterprise to effectively control production costs while ensuring product quality.

[0045] Example 4: The specific operation of selecting a target texture configuration point from at least one alternative texture configuration point based on at least the total daily processing cost is as follows: According to the calibration parameters required for each alternative texture configuration point, use precision detection equipment to determine the film layer positioning accuracy and clarify the required material batch specifications. From multiple candidate material supply nodes, by comparing the positioning error data of the materials provided by each node and whether they meet the batch specification requirements, select the node with the smallest positioning error and meeting the batch specifications as the target material node. Calculate the material supply cost based on the positioning error and batch matching degree. For example, determine the additional transportation and adjustment costs according to the size of the positioning error, and determine the procurement price adjustment coefficient according to the batch matching degree, etc. Superimpose the material supply cost on the total daily processing cost to generate the comprehensive cost. Select the target texture configuration point in ascending order of the comprehensive cost, while ensuring that the total cost does not exceed the preset budget threshold. In this way, when selecting the target texture configuration point, not only the processing cost is considered, but also the factors in material supply are taken into account, ensuring that the selection result has high feasibility and economy within the cost control range.

[0046] Suppose an optical component manufacturing company plans to produce a batch of optical light-transmitting texture films for high-definition display devices. During the production process, there are multiple alternative texture configuration points, and the company needs to select a target texture configuration point from them to ensure that the produced texture film meets the optical performance requirements and the cost is controllable.

[0047] At the production site, there are multiple high-precision calibration devices to measure the calibration parameters required for each alternative texture configuration point. For example, the calibration parameters of alternative texture configuration point A show that its film layer positioning accuracy requirement is within ±0.05 mm, and at the same time, according to the production process and product quality standards, the required material batch specification is a specific material model, and the within-batch uniformity requirement of this model of material is relatively high.

[0048] The company has 5 candidate material supply nodes, namely Supplier A, B, C, D, and E. By communicating with each supplier and testing the material samples provided by them, obtain the positioning error data of the materials of each supplier. The positioning error of the materials provided by Supplier A is within ±0.03 mm, Supplier B is ±0.04 mm, Supplier C is ±0.06 mm, Supplier D is ±0.07 mm, and Supplier E is ±0.05 mm. Comparing these data and the material batch specification requirements, it is found that the materials provided by Supplier A not only have the smallest positioning error but also fully meet the required material batch specifications. Therefore, Supplier A is determined as the target material node.

[0049] Calculate the material supply cost. The material supply cost is related to the positioning error and batch matching degree. Regarding the positioning error, it is assumed that for every ±0.01 mm exceeding the allowable positioning error range, the transportation and adjustment costs will increase by 500 yuan. The positioning error of Supplier A is within the allowable range, so the additional cost for this part is 0 yuan. Regarding the batch matching degree, if the material batch specifications are completely matched, the purchase price is the standard price; for every item of mismatch, the purchase price needs to be increased by 10%. Since the material batch specifications of Supplier A are completely matched, there is no increase in cost in terms of batch matching degree. After comprehensive calculation, the material supply cost of Supplier A is the standard purchase price. Assuming the standard purchase price is 1000 yuan per unit of material, according to the total amount of materials required for production (assumed to be 100 units), the material supply cost is 1000×100 = 100000 yuan.

[0050] After calculating the material supply cost, superimpose it on the total daily processing cost to generate the comprehensive cost. Assuming that through a calculation method similar to that in Example 3 before, the total daily processing cost of the alternative texture configuration point A is 50000 yuan, then the comprehensive cost is 100000 + 50000 = 150000 yuan.

[0051] Perform similar calculations for all alternative texture configuration points and arrange them in ascending order of comprehensive cost. Assuming that the budget threshold preset by the company is 200000 yuan, after sorting, preferentially select the alternative texture configuration points with comprehensive costs not exceeding this budget threshold and lower costs as the target texture configuration points. If the comprehensive cost of the alternative texture configuration point A is at a relatively low level among all alternative points and does not exceed the budget threshold, then select the alternative texture configuration point A as the target texture configuration point. In this way, when the company selects the target texture configuration point, it fully considers the processing cost and material supply cost, ensures the maximization of production benefits within the budget, and produces an optical transparent texture film that not only meets the optical performance requirements but also has cost competitiveness.

[0052] Example 5: After obtaining the texture configuration result, the specific steps to determine the final auxiliary coating are as follows: Obtain the second target information of multiple candidate auxiliary coatings, including coating position parameters and anti-reflection layer configuration parameters. According to the film thickness configuration of each target texture configuration point, combined with optical principles and anti-reflection performance requirements, determine the corresponding anti-reflection layer stacking requirements. Based on the stacking requirements and the configuration parameters of the candidate coatings, screen the alternative coatings that meet the anti-reflection performance. During the screening process, compare the matching degree of parameters such as the anti-reflection layer thickness and refractive index of the candidate coatings with the anti-reflection layer stacking requirements. Calculate the position adaptability of the alternative coatings to the target texture configuration points. For example, determine the position adaptability by calculating indicators such as the fitting area ratio between the coating and the texture film surface and the edge alignment degree. Generate a coating performance score according to the refractive index deviation range and adhesion parameters of the coating. The scoring method can adopt weighted average and other methods. Weighted sum the performance score and the position adaptability to obtain a comprehensive adaptability value. Select the candidate coating with the highest comprehensive adaptability value as the final auxiliary coating, which can ensure that the auxiliary coating and the texture film reach the best state in terms of optical performance and position adaptability, and further improve the overall performance of the optical transmissive texture film.

[0053] Suppose an enterprise specializing in the production of optical lenses is developing a new type of high-definition optical lens, which requires the use of an optical transmissive texture film to optimize its optical performance. After determining the texture configuration result of the texture film, it is necessary to select a suitable auxiliary coating for it.

[0054] The enterprise has prepared 5 different candidate auxiliary coatings, labeled as Coating A, Coating B, Coating C, Coating D, and Coating E respectively. Each coating has its specific coating position parameters and anti-reflection layer configuration parameters. For example, the coating position parameters of Coating A indicate that it is suitable for covering a specific area of the texture film, and its anti-reflection layer configuration parameters show that the thickness of the anti-reflection layer is 50 nanometers and the refractive index is 1.38; the anti-reflection layer of Coating B has a thickness of 60 nanometers and a refractive index of 1.40, and the position parameters are also set accordingly. The same applies to other coatings.

[0055] According to the determined texture configuration result, assume that the film thickness configuration corresponding to one of the target texture configuration points is 100 nanometers. Based on optical principles, in order to achieve the best anti-reflection effect, it is calculated that the anti-reflection layer stacking requirement at this position is an anti-reflection layer thickness of about 55 nanometers and a refractive index between 1.35 and 1.40.

[0056] Based on this superposition requirement and the configuration parameters of the candidate coatings, the screening of alternative coatings that meet the anti-reflection performance begins. The anti-reflection layer thickness and refractive index of each candidate coating are compared with the requirements. The anti-reflection layer thickness of Coating A is 50 nanometers, within the acceptable error range of about 55 nanometers, and the refractive index of 1.38 is between 1.35 and 1.40, so Coating A meets the requirements; the anti-reflection layer thickness of Coating B is 60 nanometers, which exceeds the acceptable range and is excluded; after similar comparisons of Coatings C, D, and E, only Coating E also meets the anti-reflection performance requirements. Thus, Coatings A and E are selected as alternative coatings.

[0057] Next, calculate the position fitness of the alternative coatings with the target texture configuration points. Assume that the area where the target texture configuration points are located is the central circular area of the lens with a diameter of 20 millimeters. Through precise measurement and calculation, it is found that when Coating A covers this area, the deviation of its edge from the edge of the target area is within 0.1 millimeter, and the coverage rate reaches 98%; the edge deviation of Coating E is 0.2 millimeters, and the coverage rate is 95%. Using the edge deviation and coverage rate as evaluation indicators for position fitness, a calculation model (complex formulas are not involved here) is established, and the calculated position fitness score of Coating A is 90 points, and the position fitness score of Coating E is 80 points.

[0058] Then, generate the coating performance scores according to the refractive index deviation range and adhesion parameters of the coatings. For Coating A, its refractive index deviation range is within the allowable range, and the adhesion reaches a high standard after testing. Considering these two factors, a coating performance score of 85 points is given to it; the refractive index deviation of Coating E is slightly larger, and the adhesion is slightly weaker than that of Coating A, resulting in a coating performance score of 80 points.

[0059] Sum the performance scores and position fitness scores after weighting. Assume that the weight of the position fitness is 0.6, and the weight of the coating performance score is 0.4. Then the comprehensive fitness value of Coating A is points; the comprehensive fitness value of Coating E is points.

[0060] Compare the comprehensive fitness values of the two alternative coatings. The comprehensive fitness value of Coating A is the highest. Therefore, Coating A is selected as the final auxiliary coating. Through such a rigorous screening process, it is ensured that the auxiliary coating and the texture film achieve the best match in terms of optical performance and position fitness, thereby effectively improving the overall performance of the optical lens.

[0061] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0062] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling the characteristics of an optically transparent textured film, characterized in that, Including: Based on the light intensity distribution parameters of multiple light sources within a set control period, determine the light intensity fluctuation range corresponding to each light source, and summarize the total light intensity distribution range corresponding to multiple light sources; After determining the film thickness requirement for meeting the target light transmittance, determine the film thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter, where the surface roughness parameter is used to characterize the compatibility of the material surface in the target area with different texture densities, and the film thickness configuration is determined according to the number of film layers stacked associated with the candidate texture configuration point; Based on the film thickness configuration and the target light transmittance requirement, select at least one alternative texture configuration point from multiple candidate texture configuration points, and after calculating the single-day processing total cost corresponding to the alternative texture configuration point and associated multiple light sources, select the target texture configuration point from at least one alternative texture configuration point at least according to the single-day processing total cost to obtain the texture configuration result; Determine the final texture configuration scheme according to the processing cost corresponding to each alternative texture configuration point and the single-day processing total cost.

2. The method for controlling the characteristics of the optically transparent texture film according to claim 1, characterized in that The texture configuration result includes all selected target texture configuration points, the film thickness configuration and the stacking position of each target texture configuration point under the target surface roughness parameter.

3. The method for controlling the characteristics of the optically transparent texture film according to claim 1, characterized in that, The determining the final texture configuration scheme according to the processing cost corresponding to each alternative texture configuration point and the single-day processing total cost includes: Obtain a preset light transmittance compliance threshold, where the threshold is used to determine whether the light transmittance of the target texture configuration point meets the multi-light source cooperation requirement; Based on the light transmittance compliance threshold, calculate the total light transmittance deviation value of each combination of alternative texture configuration points, and select the combination with the smallest deviation value as the final texture configuration scheme, where the combination is generated by traversing the permutation ways of all alternative texture configuration points.

4. The method for controlling the characteristics of the optically transparent texture film according to claim 1, characterized in that, The calculating the single-day processing total cost corresponding to the alternative texture configuration point and associated multiple light sources includes: According to the position deviation between each light source and the corresponding alternative texture configuration point, determine the film layer calibration cost of a single light source, and summarize the calibration costs of all light sources to obtain the total calibration cost; Based on the number of film layers stacked corresponding to the candidate texture configuration point, determine the material consumption cost of each layer of stacking; Add the total calibration cost, the material consumption cost and the equipment depreciation cost to obtain the single-day processing total cost.

5. The method for controlling the characteristics of the optically transparent texture film according to claim 3, wherein The selecting the target texture configuration point from at least one alternative texture configuration point at least according to the single-day processing total cost includes: According to the calibration parameters required by each alternative texture configuration point, determine the film layer positioning accuracy and the material batch specification, and select the node with the smallest positioning error and meeting the batch specification as the target material node from multiple candidate material supply nodes; Calculate the material supply cost based on the positioning error and the batch matching degree, and stack it with the single-day processing total cost to generate the comprehensive cost; Select the target texture configuration point in the order of increasing comprehensive cost, and the total cost does not exceed the preset budget threshold.

6. The method for controlling the characteristics of the optically transparent texture film according to claim 1, wherein Determining the film thickness configuration specifically includes: Retrieve the texture parameter comparison table, where the comparison table includes surface roughness parameters, the number of film layers stacked, the distance from the reference point of the target area, and the mapping relationship among the three; Calculate the actual distance from the candidate texture configuration point to the reference point according to the position information of the candidate texture configuration point, and query the matching number of film layers stacked in the comparison table; Generate the film thickness configuration based on the number of film layers stacked; 7. The method for controlling the characteristics of the optically transparent texture film according to claim 1, wherein Select at least one alternative texture configuration point from multiple candidate texture configuration points based on the film thickness configuration and the target light transmittance requirement, including: Calculate the light transmittance compliance probability of each candidate texture configuration point under different surface roughness parameters; Screen the candidate points with a compliance probability higher than the preset threshold, and generate a candidate combination based on their surface compatibility parameters; Select the candidate combination with the highest combined compatibility score as the alternative texture configuration point; 8. The method for controlling the characteristics of the optically transparent textured film according to claim 1, wherein, After obtaining the texture configuration result, the method further includes: Obtain the second target information of multiple candidate auxiliary coatings, where the information includes coating position parameters and antireflection layer configuration parameters; Determine the corresponding antireflection layer stacking requirement according to the film thickness configuration of each target texture configuration point; Screen the alternative coatings that meet the antireflection performance based on the stacking requirement and the configuration parameters of the candidate coatings; Calculate the position suitability of the alternative coatings with the target texture configuration points, and select the coating with the highest suitability as the final auxiliary coating; 9. The method for controlling the characteristics of the optically transparent texture film according to claim 7, wherein The selecting the coating with the highest suitability as the final auxiliary coating includes: Generate a coating performance score according to the refractive index deviation range and adhesion parameters of the coating; Perform a weighted sum of the performance score and the position suitability to obtain a comprehensive suitability value; Select the candidate coating with the highest comprehensive suitability value as the final auxiliary coating; 10. A storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the characteristic control method of the optical light-transmitting texture film according to any one of claims 1 to 9.

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